Leveraging Generative AI for Sustainable Academic Advising: Enhancing Educational Practices through AI-Driven Recommendations

Omiros Iatrellis (), Nicholas Samaras, Konstantinos Kokkinos and Theodor Panagiotakopoulos
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Omiros Iatrellis: Department of Digital Systems, University of Thessaly, 41500 Larissa, Greece
Nicholas Samaras: Department of Digital Systems, University of Thessaly, 41500 Larissa, Greece
Konstantinos Kokkinos: Department of Digital Systems, University of Thessaly, 41500 Larissa, Greece
Theodor Panagiotakopoulos: School of Science and Technology, Hellenic Open University, 26335 Patras, Greece

Sustainability, 2024, vol. 16, issue 17, 1-16

Abstract: This study explores the integration of ChatGPT, a generative AI tool, into academic advising systems, aiming to assess its efficacy compared to traditional human-generated advisories. Conducted within the INVEST European University, which emphasizes sustainable and innovative educational practices, this research leverages AI to demonstrate its potential in enhancing sustainability within the context of academic advising. By providing ChatGPT with scenarios from academic advising, we evaluated the AI-generated recommendations against traditional advisories across multiple dimensions, including acceptance, clarity, practicality, impact, and relevance, in real academic settings. Five academic advisors reviewed recommendations across diverse advising scenarios such as pursuing certifications, selecting bachelor dissertation topics, enrolling in micro-credential programs, and securing internships. AI-generated recommendations provided unique insights and were considered highly relevant and understandable, although they received moderate scores in acceptance and practicality. This study demonstrates that while AI does not replace human judgment, it can reduce administrative burdens, significantly enhance the decision-making process in academic advising, and provide a foundation for a new framework that improves the efficacy and sustainability of academic advising practices.

Keywords: academic advising; generative AI; educational technology; sustainable educational practices (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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